code: def register_rendezvous_handler(scheme, handler):
      """
      Register a new rendezvous handler.
  
      Before we can run collective algorithms, participating processes
      need to find each other and exchange information to be able to
      communicate. We call this process rendezvous.
  
      The outcome of the rendezvous process is a triplet containing a
      shared key/value store, the rank of the process, and the total
      number of participating processes.
  
      If none of the bundled rendezvous methods apply to your execution
      environment you can opt to register your own rendezvous handler.
      Pick a unique name and use the URL scheme to identify it when
      calling the `rendezvous()` function.
  
      Args:
          scheme (str): URL scheme to identify your rendezvous handler.
          handler (function): Handler that is invoked when the
              `rendezvous()` function is called with a URL that uses
              the corresponding scheme. It must be a generator function
              that yields the triplet.
      """
      global _rendezvous_handlers
      if scheme in _rendezvous_handlers:
          raise RuntimeError(
              f"Rendezvous handler for {scheme}:// already registered"
          )
      _rendezvous_handlers[scheme] = handler
  
file_path: pytorch/torch/distributed/rendezvous.py
imports: import numbers
  import os
  import sys
  from datetime import timedelta
  from typing import Dict, Optional
  from torch.distributed import FileStore, PrefixStore, Store, TCPStore
  from .constants import default_pg_timeout
label_desc: Use image node_id 1 for calling a global function with example usage: register_rendezvous_handler(scheme, handler) without return types